Kamu erişimi zorunlu olan makaleler - Bradley MalinDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 16
COAT: Constraint-based anonymization of transactions
G Loukides, A Gkoulalas-Divanis, B Malin
Knowledge and Information Systems 28, 251-282, 2011
Zorunlu olanlar: US National Institutes of Health
Detecting Anomalous User Behaviors in Workflow-Driven Web Applications.
X Li, Y Xue, B Malin
32nd IEEE Symposium on Reliable Distributed Systems, 1-10, 2012
Zorunlu olanlar: US National Institutes of Health
Privacy-aware dynamic feature selection
E Pattuk, M Kantarcioglu, H Ulusoy, B Malin
2015 IEEE 31st international conference on data engineering, 78-88, 2015
Zorunlu olanlar: US National Institutes of Health
Data re-identification: societal safeguards
RB Altman, EW Clayton, IS Kohane, BA Malin, DM Roden
Science 339 (6123), 1032-1033, 2013
Zorunlu olanlar: US National Institutes of Health
Reciprocity and its association with treatment adherence in an online breast cancer forum
Z Yin, L Song, B Malin
2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017
Zorunlu olanlar: US National Science Foundation
A framework for privacy-preserving genomic data analysis using trusted execution environments
A Asvadishirehjini, M Kantarcioglu, B Malin
2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Determining the impact of missing values on blocking in record linkage
IC Anindya, M Kantarcioglu, B Malin
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Game theory for privacy-preserving sharing of genomic data
Z Wan, Y Vorobeychik, EW Clayton, M Kantarcioglu, B Malin
Responsible Genomic Data Sharing, 135-160, 2020
Zorunlu olanlar: US National Institutes of Health
Optimizing secure classification performance with privacy-aware feature selection
E Pattuk, M Kantarcioglu, H Ulusoy, B Malin
32nd IEEE International Conference on Data Engineering (ICDE),, 217-228, 2016
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
An integrative framework for anonymizing clinical and genomic data
G Loukides, A Gkoulalas-Divanis, B Malin
Database technology for life sciences and medicine, 65-89, 2010
Zorunlu olanlar: US National Institutes of Health
Risk, trust, and altruism in genetic data sharing
Z Samad, M Wooders, B Malin, Y Vorobeychik
Journal of Public Economic Theory 25 (6), 1251-1269, 2023
Zorunlu olanlar: US National Institutes of Health
Detecting Personal Health Mentions from Social Media Using Supervised Machine Learning
Z Yin, C Ni, D Fabbri, ST Rosenbloom, B Malin
Personal Health Informatics: Patient Participation in Precision Health, 247-266, 2022
Zorunlu olanlar: US National Science Foundation, Patient-Centered Outcomes Research Institute
Learning hormonal therapy medication adherence from an online breast cancer forum
Z Yin, J Warner, L Song, PY Hsueh, CH Chen, B Malin
Social Web and Health Research: Benefits, Limitations, and Best Practices …, 2019
Zorunlu olanlar: US National Science Foundation
The need for better data breach statistics
D Fabbri, ME Frisse, B Malin
JAMA Internal Medicine 177 (11), 1696-1696, 2017
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
A survey of challenges and solutions for privacy in clinical genomics data mining
B Malin, C Cassa, M Kantarcioglu
Privacy-Preserving Knowledge Discovery, 2011
Zorunlu olanlar: US National Institutes of Health
Mining the Best Observational Window to Model Social Phenomena
C Yan, Z Yin, S Xiang, Y Chen, Y Vorobeychik, D Fabbri, A Kho, ...
2018 IEEE 4th International Conference on Collaboration and Internet …, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Bir yerde sunuluyor: 198
The “All of Us” research program
All of Us Research Program Investigators
New England Journal of Medicine 381 (7), 668-676, 2019
Zorunlu olanlar: US National Institutes of Health
Generating multi-label discrete patient records using generative adversarial networks
E Choi, S Biswal, B Malin, J Duke, WF Stewart, J Sun
Machine learning for healthcare conference, 286-305, 2017
Zorunlu olanlar: US National Science Foundation
A systematic review of re-identification attacks on health data
K El Emam, E Jonker, L Arbuckle, B Malin
PloS one 6 (12), e28071, 2011
Zorunlu olanlar: US National Institutes of Health
Evaluating re-identification risks with respect to the HIPAA privacy rule
K Benitez, B Malin
Journal of the American Medical Informatics Association 17 (2), 169-177, 2010
Zorunlu olanlar: US National Institutes of Health
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